中国普通外科杂志2025，Vol.34Issue(4)：632-639,8.DOI:10.7659/j.issn.1005-6947.250098
AI赋能代谢减重外科手术营养并发症防治:技术革新与临床实践
AI-enabled prevention and management of nutritional complications in metabolic-bariatric surgery:technological innovation and clinical practice
摘要
Abstract
Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.关键词
减肥手术/人工智能/手术后并发症/营养障碍/精准医学Key words
Bariatric Surgery/Artificial Intelligence/Postoperative Complications/Nutrition Disorders/Precision Medicine分类
医药卫生引用本文复制引用
许靖豪,刘丹璐,杜强,万谦益,赵锐,张贵祥,程中,陈亿..AI赋能代谢减重外科手术营养并发症防治:技术革新与临床实践[J].中国普通外科杂志,2025,34(4):632-639,8.基金项目
四川省自然科学基金资助项目(2023NSFSC0664,2024NSFSC1695) （2023NSFSC0664,2024NSFSC1695）
四川大学华西医院学科卓越发展"1·3·5工程"人工智能基金资助项目(ZYAI24024). （ZYAI24024）
